Results 1  10
of
2,842
Memoryless InputOutput Encoding for Networked Systems with Unknown Constant Time Delay
, 2006
"... Communication time delay in a networked control system (NCS) degrades the performance and may lead to instability. The time delay value depends on the network configuration, e.g. number of nodes and is not exactly known during the controller design stage. Based on a novel delayindependent inputoutp ..."
Abstract

Cited by 1 (1 self)
 Add to MetaCart
output approach the problem of unknown constant time delay is addressed in this paper. The plant and the controller input and output are encoded by a memoryless transformation into new variables which are transmitted over the communication channel. Thereby finite gain L2 stability is achieved. The performance
COMPLEXVALUED BEST LINEAR UNBIASED ESTIMATOR OF AN UNKNOWN CONSTANT MEAN OF WHITE NOISE
, 1112
"... Abstract. In this paper the complexvalued best linear unbiased estimator of an unknown constant mean of white noise was derived the ordinary leastsquares estimator of an unknown constant mean of random field (arithmetic mean) charged by an imaginary error. 1. ..."
Abstract
 Add to MetaCart
Abstract. In this paper the complexvalued best linear unbiased estimator of an unknown constant mean of white noise was derived the ordinary leastsquares estimator of an unknown constant mean of random field (arithmetic mean) charged by an imaginary error. 1.
The Numerical Generalized LeastSquares Estimator of an Unknown Constant Mean of Random Field
"... ar ..."
Structure aud Motion of a Rigid Object Having Unknown Constant Motion
"... additional information. ..."
Compressed sensing
, 2004
"... We study the notion of Compressed Sensing (CS) as put forward in [14] and related work [20, 3, 4]. The basic idea behind CS is that a signal or image, unknown but supposed to be compressible by a known transform, (eg. wavelet or Fourier), can be subjected to fewer measurements than the nominal numbe ..."
Abstract

Cited by 3625 (22 self)
 Add to MetaCart
We study the notion of Compressed Sensing (CS) as put forward in [14] and related work [20, 3, 4]. The basic idea behind CS is that a signal or image, unknown but supposed to be compressible by a known transform, (eg. wavelet or Fourier), can be subjected to fewer measurements than the nominal
Ideal spatial adaptation by wavelet shrinkage
 Biometrika
, 1994
"... With ideal spatial adaptation, an oracle furnishes information about how best to adapt a spatially variable estimator, whether piecewise constant, piecewise polynomial, variable knot spline, or variable bandwidth kernel, to the unknown function. Estimation with the aid of an oracle o ers dramatic ad ..."
Abstract

Cited by 1269 (5 self)
 Add to MetaCart
With ideal spatial adaptation, an oracle furnishes information about how best to adapt a spatially variable estimator, whether piecewise constant, piecewise polynomial, variable knot spline, or variable bandwidth kernel, to the unknown function. Estimation with the aid of an oracle o ers dramatic
Capacity of a Mobile MultipleAntenna Communication Link in Rayleigh Flat Fading
"... We analyze a mobile wireless link comprising M transmitter and N receiver antennas operating in a Rayleigh flatfading environment. The propagation coefficients between every pair of transmitter and receiver antennas are statistically independent and unknown; they remain constant for a coherence int ..."
Abstract

Cited by 495 (22 self)
 Add to MetaCart
We analyze a mobile wireless link comprising M transmitter and N receiver antennas operating in a Rayleigh flatfading environment. The propagation coefficients between every pair of transmitter and receiver antennas are statistically independent and unknown; they remain constant for a coherence
The Correct Classic Generalized LeastSquares Estimator of an Unknown Constant Mean of Random Field, arXiv:1205.3597 [cs.NA]. Email address: tomasz.suslo@gmail.com
"... Abstract. The aim of the paper is to derive for the negative correlation function with a time parameter an asymptotic disjunction limj→ ∞ ωijvi of the numerical generalized leastsquares estimator ωijvi of an unknown constant mean of random field in fact the correct classic generalized leastsquar ..."
Abstract

Cited by 1 (1 self)
 Add to MetaCart
Abstract. The aim of the paper is to derive for the negative correlation function with a time parameter an asymptotic disjunction limj→ ∞ ωijvi of the numerical generalized leastsquares estimator ωijvi of an unknown constant mean of random field in fact the correct classic generalized least
Random sampling with a reservoir
 ACM Transactions on Mathematical Software
, 1985
"... We introduce fast algorithms for selecting a random sample of n records without replacement from a pool of N records, where the value of N is unknown beforehand. The main result of the paper is the design and analysis of Algorithm Z; it does the sampling in one pass using constant space and in O(n(1 ..."
Abstract

Cited by 335 (2 self)
 Add to MetaCart
We introduce fast algorithms for selecting a random sample of n records without replacement from a pool of N records, where the value of N is unknown beforehand. The main result of the paper is the design and analysis of Algorithm Z; it does the sampling in one pass using constant space and in O
Prior Probabilities
 IEEE Transactions on Systems Science and Cybernetics
, 1968
"... e case of location and scale parameters, rate constants, and in Bernoulli trials with unknown probability of success. In realistic problems, both the transformation group analysis and the principle of maximum entropy are needed to determine the prior. The distributions thus found are uniquely determ ..."
Abstract

Cited by 260 (4 self)
 Add to MetaCart
e case of location and scale parameters, rate constants, and in Bernoulli trials with unknown probability of success. In realistic problems, both the transformation group analysis and the principle of maximum entropy are needed to determine the prior. The distributions thus found are uniquely
Results 1  10
of
2,842